Diagnosing Acute Heart Failure in Patients With Undifferentiated Dyspnea: A Lung and Cardiac Ultrasound (LuCUS) Protocol

Objectives The primary goal of this study was to determine accuracy for diagnosing acutely decompensated heart failure (ADHF) in the undifferentiated dyspneic emergency department (ED) patient using a lung and cardiac ultrasound (LuCUS) protocol. Secondary objectives were to determine if US findings acutely change management and if findings are more accurate than clinical gestalt. Methods This was a prospective, observational study of adult patients presenting to the ED with undifferentiated dyspnea. The intervention consisted of a 12-view LuCUS protocol performed by experienced emergency physician sonographers. The primary objective was measured by comparing US findings to the final diagnosis independently determined by two physicians blinded to the LuCUS result. Acute treatment changes based on US findings were tracked in real time through a standardized data collection form. Results Data on 99 patients were analyzed; ADHF was the final diagnosis in 36%. The LuCUS protocol had sensitivity of 83% (95% confidence interval [CI] = 67% to 93%), specificity of 83% (95% CI = 70% to 91%), positive likelihood ratio of 4.8 (95% CI = 2.7 to 8.3), and negative likelihood ratio of 0.20 (95% CI = 0.09 to 0.42). Forty-seven percent of patients had changes in acute management, and 42% had changes in acute treatment. Observed agreement for the LuCUS protocol was 93% between coinvestigators. Overall, accuracy improved by 20% (83% vs. 63%, 95% CI = 8% to 31% for the difference) over clinical gestalt alone. Conclusions The LuCUS protocol may accurately identify ADHF and may improve acute clinical management in dyspneic ED patients. This protocol has improved diagnostic accuracy over clinical gestalt alone

Risk factors associated with hospital admission in COVID-19 patients initially admitted to an observation unit

This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.Background No set guidelines to guide disposition decisions from the emergency department (ED) in patients with COVID-19 exist. Our goal was to determine characteristics that identify patients at high risk for adverse outcomes who may need admission to the hospital instead of an observation unit. Methods We retrospectively enrolled 116 adult patients with COVID-19 admitted to an ED observation unit. We included patients with bilateral infiltrates on chest imaging, COVID-19 testing performed, and/or COVID-19 suspected as the primary diagnosis. The primary outcome was hospital admission. We assessed risk factors associated with this outcome using univariate and multivariable logistic regression. Results Of 116 patients, 33 or 28% (95% confidence interval [CI] 20–37%) required admission from the observation unit. On multivariable logistic regression analysis, we found that hypoxia defined as room-air oxygen saturation 48 years, bilateral infiltrates, hypoxia, and Hispanic race, bilateral infiltrates, hypoxia yield an OR for admission of 4.99 (CI 1.50–16.65) with an AUC of 0.59 (CI 0.51–0.67) and 6.78 (CI 2.11–21.85) with an AUC of 0.62 (CI 0.54–0.71), respectively. Conclusions Over 1/4 of suspected COVID-19 patients admitted to an ED observation unit ultimately required admission to the hospital. Risk factors associated with admission include hypoxia, bilateral infiltrates on chest radiography, or the combination of these two factors plus either age > 48 years or Hispanic race

B-line quantification: comparing learners novice to lung ultrasound assisted by machine artificial intelligence technology to expert review

Background: The goal of this study was to assess the ability of machine artificial intelligence (AI) to quantitatively assess lung ultrasound (LUS) B-line presence using images obtained by learners novice to LUS in patients with acute heart failure (AHF), compared to expert interpretation. Methods: This was a prospective, multicenter observational study conducted at two urban academic institutions. Learners novice to LUS completed a 30-min training session on lung image acquisition which included lecture and hands-on patient scanning. Learners independently acquired images on patients with suspected AHF. Automatic B-line quantification was obtained offline after completion of the study. Machine AI counted the maximum number of B-lines visualized during a clip. The criterion standard for B-line counts was semi-quantitative analysis by a blinded point-of-care LUS expert reviewer. Image quality was blindly determined by an expert reviewer. A second expert reviewer blindly determined B-line counts and image quality. Intraclass correlation was used to determine agreement between machine AI and expert, and expert to expert. Results: Fifty-one novice learners completed 87 scans on 29 patients. We analyzed data from 611 lung zones. The overall intraclass correlation for agreement between novice learner images post-processed with AI technology and expert review was 0.56 (confidence interval [CI] 0.51-0.62), and 0.82 (CI 0.73-0.91) between experts. Median image quality was 4 (on a 5-point scale), and correlation between experts for quality assessment was 0.65 (CI 0.48-0.82). Conclusion: After a short training session, novice learners were able to obtain high-quality images. When the AI deep learning algorithm was applied to those images, it quantified B-lines with moderate-to-fair correlation as compared to semi-quantitative analysis by expert review. This data shows promise, but further development is needed before widespread clinical use

Design and rationale of the B-lines lung ultrasound guided emergency department management of acute heart failure (BLUSHED-AHF) pilot trial

Background Medical treatment for acute heart failure (AHF) has not changed substantially over the last four decades. Emergency department (ED)-based evidence for treatment is limited. Outcomes remain poor, with a 25% mortality or re-admission rate within 30 days post discharge. Targeting pulmonary congestion, which can be objectively assessed using lung ultrasound (LUS), may be associated with improved outcomes. Methods BLUSHED-AHF is a multicenter, randomized, pilot trial designed to test whether a strategy of care that utilizes a LUS-driven treatment protocol outperforms usual care for reducing pulmonary congestion in the ED. We will randomize 130 ED patients with AHF across five sites to, a) a structured treatment strategy guided by LUS vs. b) a structured treatment strategy guided by usual care. LUS-guided care will continue until there are ≤15 B-lines on LUS or 6h post enrollment. The primary outcome is the proportion of patients with B-lines ≤ 15 at the conclusion of 6 h of management. Patients will continue to undergo serial LUS exams during hospitalization, to better understand the time course of pulmonary congestion. Follow up will occur through 90 days, exploring days-alive-and-out-of-hospital between the two arms. The study is registered on ClinicalTrials.gov (NCT03136198). Conclusion If successful, this pilot study will inform future, larger trial design on LUS driven therapy aimed at guiding treatment and improving outcomes in patients with AHF

Can we predict which COVID-19 patients will need transfer to intensive care within 24 hours of floor admission?

Background Patients with COVID‐19 can present to the emergency department (ED) at any point during the spectrum of illness, making it difficult to predict what level of care the patient will ultimately require. Admission to a ward bed, which is subsequently upgraded within hours to an intensive care unit (ICU) bed, represents an inability to appropriately predict the patient's course of illness. Predicting which patients will require ICU care within 24 hours would allow admissions to be managed more appropriately. Methods This was a retrospective study of adults admitted to a large health care system, including 14 hospitals across the state of Indiana. Included patients were aged ≥ 18 years, were admitted to the hospital from the ED, and had a positive polymerase chain reaction (PCR) test for COVID‐19. Patients directly admitted to the ICU or in whom the PCR test was obtained > 3 days after hospital admission were excluded. Extracted data points included demographics, comorbidities, ED vital signs, laboratory values, chest imaging results, and level of care on admission. The primary outcome was a combination of either death or transfer to ICU within 24 hours of admission to the hospital. Data analysis was performed by logistic regression modeling to determine a multivariable model of variables that could predict the primary outcome. Results Of the 542 included patients, 46 (10%) required transfer to ICU within 24 hours of admission. The final composite model, adjusted for age and admission location, included history of heart failure and initial oxygen saturation of 6.4 or glomerular filtration rate < 46. The odds ratio (OR) for decompensation within 24 hours was 5.17 (95% confidence interval [CI] = 2.17 to 12.31) when all criteria were present. For patients without the above criteria, the OR for ICU transfer was 0.20 (95% CI = 0.09 to 0.45). Conclusions Although our model did not perform well enough to stand alone as a decision guide, it highlights certain clinical features that are associated with increased risk of decompensation

Learners' perceptions of their successes and failures in foreign language learning

This is a postprint of an article whose final and definitive form has been published in the Language Learning Journal © 2004 Copyright Taylor & Francis; Language Learning Journal is available online at http://www.informaworld.comResearch into learners’ attributions for their successes and failures has received considerable attention. However very little has been carried out in the area of learning foreign languages. This study is timely in view of the current interest by the government in promoting foreign languages. The aims of the study were (1) to investigate secondary students’ attributions for their success and failures in learning foreign languages (2) to examine the ways in which these vary according to age, gender, perceived success and specific language studied. The sample consisted of 285 students between the ages of 11 and 16 studying French, German and Spanish in five secondary schools in the UK. A simple open questionnaire was administered by language teachers, consisting of a personal evaluation by students of their perceived level of success as learners of specific foreign languages and their attributions for success and failure in those domains. The resulting responses were analysed by means of a grounded theory approach allowing categories to emerge from the data. The resultant categories were then tabulated according to student age, gender, and language learnt, together with level of perceived success. Over one thousand attributional statements gave rise to 21 attributional categories for doing well and 16 categories for not doing well at language learning. A far wider range of attributions were identified than is generally shown in the research literature, six of which were most commonly called upon as reasons for both success and failure. Clear differences emerged between boys and girls, year groups, perceived success and language studied. These results and, in particular, the lack of clarity in the learners’ comments about strategy use and the lack of focus on metacognitive strategies, have important implications for policy makers and for teachers of foreign languages in UK schools. In addition there are important implications for future research in this area

Comprehensive Gene-Expression Survey Identifies Wif1 as a Modulator of Cardiomyocyte Differentiation

During chicken cardiac development the proepicardium (PE) forms the epicardium (Epi), which contributes to several non-myocardial lineages within the heart. In contrast to Epi-explant cultures, PE explants can differentiate into a cardiomyocyte phenotype. By temporal microarray expression profiles of PE-explant cultures and maturing Epi cells, we identified genes specifically associated with differentiation towards either of these lineages and genes that are associated with the Epi-lineage restriction. We found a central role for Wnt signaling in the determination of the different cell lineages. Immunofluorescent staining after recombinant-protein incubation in PE-explant cultures indicated that the early upregulated Wnt inhibitory factor-1 (Wif1), stimulates cardiomyocyte differentiation in a similar manner as Wnt stimulation. Concordingly, in the mouse pluripotent embryogenic carcinoma cell line p19cl6, early and late Wif1 exposure enhances and attenuates differentiation, respectively. In ovo exposure of the HH12 chicken embryonic heart to Wif1 increases the Tbx18-positive cardiac progenitor pool. These data indicate that Wif1 enhances cardiomyogenesis

LIMEs and LEMONs: Critically Examining the Effect of a Blog Post on Junior Faculty Learners

IntroductionThe usage of asynchronous resources such as blogs and podcasts is pervasive in academic medicine, despite little understanding of their actual effect on learner knowledge acquisition. This study sought to examine the objective effect of a blog post on knowledge acquisition and application among junior faculty in emergency medicine (EM) via randomized controlled study.MethodsAll accredited EM residency programs in the United States and Canada were contacted to identify assistant and associate program directors and medical education fellows for recruitment into this study. Upon enrollment, participants were randomized as to whether they received access to a supplemental blog post prior to listening to a podcast episode. After listening to the podcast episode, all participants completed an assessment that included a test of knowledge application and knowledge acquisition; demographic information was also obtained.ResultsUltimately, 103 participants completed the study; the study closed for enrollment in July 2019. Data were nonnormally distributed and groups were compared using the Wilcoxon rank‐sum test. There were no significant differences between the demographics of the two groups nor was there a significant difference in knowledge between the two groups.ConclusionThe addition of a supplementary blog post did not increase junior faculty knowledge of a podcast episode.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/1/aet210553.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/2/aet210553_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/3/aet210553-sup-0001-DataSupplementS1.pd

LIMEs and LEMONs: Critically Examining the Effect of a Blog Post on Junior Faculty Learners

IntroductionThe usage of asynchronous resources such as blogs and podcasts is pervasive in academic medicine, despite little understanding of their actual effect on learner knowledge acquisition. This study sought to examine the objective effect of a blog post on knowledge acquisition and application among junior faculty in emergency medicine (EM) via randomized controlled study.MethodsAll accredited EM residency programs in the United States and Canada were contacted to identify assistant and associate program directors and medical education fellows for recruitment into this study. Upon enrollment, participants were randomized as to whether they received access to a supplemental blog post prior to listening to a podcast episode. After listening to the podcast episode, all participants completed an assessment that included a test of knowledge application and knowledge acquisition; demographic information was also obtained.ResultsUltimately, 103 participants completed the study; the study closed for enrollment in July 2019. Data were nonnormally distributed and groups were compared using the Wilcoxon rank‐sum test. There were no significant differences between the demographics of the two groups nor was there a significant difference in knowledge between the two groups.ConclusionThe addition of a supplementary blog post did not increase junior faculty knowledge of a podcast episode.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/1/aet210553.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/2/aet210553_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/168262/3/aet210553-sup-0001-DataSupplementS1.pd

Laboratory trends in severe MIS-C

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175134/1/acem14553_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/175134/2/acem14553.pd